OSU’s Center for Health Systems Innovation (CHSI) today announced the launch of the Center for Predictive Medicine putting a massive clinical database to work to improve healthcare by discovering and implementing new and innovative information technology tools.
Predictive Medicine is a growing field that seeks to develop information technology tools and bring them to healthcare providers and patients to predict the probability of disease, adverse events, drug and clinical outcomes, and disease progression to provide evidence-based diagnostic and treatment options.
“The enormity of our 63 million-plus patient dataset and its HIPAA-compliant nature affords our first-class team of health data analysts, statisticians, and data scientists the ability to develop a number of clinical decision algorithms and predictive medicine tools with a high level of statistical confidence”, said William Paiva, Ph.D., M.B.A., CHSI Executive Director. “Our analytic research teams are discovering detailed patterns in the data that can equip healthcare providers and patients with the information they need to make improved, better, and faster clinical and business decisions. The wide spectrum of applications that will be developed from this data range from management of a broad range clinical conditions and complications, drug dispensing and interactions, admission and discharge planning, and payment model reforms. OSU is on the leading edge of predictive medicine with this one-of-a-kind asset.”
The Center for Predictive Medicine is already proving the power of this vast medical database through innovative discovery and entrepreneurship. “Creation of the region’s first predictive medicine center reaffirms Oklahoma State University’s commitment to the foundations of advancing scientific discovery and medical care for the populations we serve,” said Oklahoma State University President Burns Hargis. “CHSI’s emphasis on rural and Native American health ideally aligns with OSU’s mission as a land grant university and the OSU-CHS mission to train primary care physicians to work in rural and underserved populations.”
“Having the magnitude of this one-of-a-kind clinical dataset makes OSU truly unique throughout the country. CHSI is strategically positioned at the intersection of the OSU Spears School of Business in Stillwater, Oklahoma and the OSU Center for Health Sciences in Tulsa giving the team the business minds, technical personnel, capabilities, and infrastructure to extract value from the dataset,” said Ken Eastman, Ph.D., Dean of the OSU Spears School of Business . “This partnership allows CHSI to tap into the clinical expertise in Tulsa as well as the information technology horsepower resident in the management information system (MIS), industrial engineering, and computer science departments on the OSU campus in Stillwater.”
Currently the Center for Predictive Medicine researchers are working on several projects:
“Chronic illnesses such as diabetes, pulmonary, and heart disease have a profound and escalating impact in rural Oklahoma and America. A severe physician shortage is compounding those critical health issues and obstructing access to care,” said Dr. Kayse Shrum, Oklahoma State University Center for Health Sciences President. “The predictive and information tools the Center for Predictive Medicine is developing will revolutionize the way we treat disease and train physicians. For all patient populations, but particularly rural and medically underserved regions, this means better healthcare outcomes, more cost-effective medicine and healthier communities.”
The OSU CHSI database contains the nation’s largest warehouse of clinical information. In 2016 that database increased by more than 20 percent and now documents the unprecedented clinical information of 63 million patients, an increase of 10 million patients in the last 18 months. The HIPAA-compliant health care database was donated to Oklahoma State University in 2014 by Cerner Corporation founder and OSU alumnus Neal Patterson.
“The clinical information we use for our analytics affords us the luxury of looking at these issues through a clinical lens,” Paiva continued. “The recent digitalization of the patient’s medical record has enabled the growth of Predictive Medicine and this innovative field of research.”
The database, which contains data from more than 850 facilities across the United States, houses 63-million unique patients with more than 75-million HIPAA protected clinical event encounters collected over the last 16 years. It also includes 4.3 billion lab values, 734 million medication orders across 5,000 different drugs, and includes the newest ICD-10 patient data coding.